Robert E. Tillman

22 papers A* 1A 2Journal 13Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
ESTAR: Early-Stopping Token-Aware Reasoning For Efficient Inference.
CoRR
Junda Wang, Zhichao Yang, Dongxu Zhang, Sanjit Singh Batra, Robert E. Tillman
2026 J jnl
Fast and Effective On-policy Distillation from Reasoning Prefixes.
CoRR
Dongxu Zhang, Zhichao Yang, Sepehr Janghorbani, Jun Han, Andrew Ressler II, Qian Qian, Gregory D. Lyng, Sanjit Singh Batra, Robert E. Tillman
2026 J jnl
Health-SCORE: Towards Scalable Rubrics for Improving Health-LLMs.
CoRR
Zhichao Yang, Sepehr Janghorbani, Dongxu Zhang, Jun Han, Qian Qian, Andrew Ressler II, Gregory D. Lyng, Sanjit Singh Batra, Robert E. Tillman
2026 J jnl
Imputation of Unknown Missingness in Sparse Electronic Health Records.
CoRR
Jun Han, Josue Nassar, Sanjit Singh Batra, Aldo Córdova-Palomera, Vijay S. Nori, Robert E. Tillman
2026 J jnl
POET: Protocol Optimization via Eligibility Tuning.
CoRR
Trisha Das, Katherine Kero, Dorinda Schumann, Tracy Ohrt, Sanjit Singh Batra, Gregory D. Lyng, Robert E. Tillman
2025 J jnl
Guided Discrete Diffusion for Electronic Health Record Generation.
Trans. Mach. Learn. Res.
Jun Han, Zixiang Chen, Yongqian Li, Yiwen Kou, Eran Halperin, Robert E. Tillman, Quanquan Gu
2025 J jnl
OrdShap: Feature Position Importance for Sequential Black-Box Models.
CoRR
Davin Hill, Brian L. Hill, Aria Masoomi, Vijay S. Nori, Robert E. Tillman, Jennifer G. Dy
2025 — conf
Temporal Motifs for Financial Networks: A Study on Mercari, JPMC, and Venmo Platforms.
ASONAM (1)
Penghang Liu, Bahadir Altun, Rupam Acharyya, Robert E. Tillman, Shunya Kimura, Naoki Masuda, Ahmet Erdem Sariyüce
2024 J jnl
Guided Discrete Diffusion for Electronic Health Record Generation.
CoRR
Zixiang Chen, Jun Han, Yongqian Li, Yiwen Kou, Eran Halperin, Robert E. Tillman, Quanquan Gu
2023 J jnl
Privacy-Preserving Energy-Based Generative Models for Marginal Distribution Protection.
Trans. Mach. Learn. Res.
Robert E. Tillman, Tucker Balch, Manuela Veloso
2023 J jnl
Temporal Motifs for Financial Networks: A Study on Mercari, JPMC, and Venmo Platforms.
CoRR
Penghang Liu, Rupam Acharyya, Robert E. Tillman, Shunya Kimura, Naoki Masuda, Ahmet Erdem Sariyüce
2022 J jnl
Generative Models with Information-Theoretic Protection Against Membership Inference Attacks.
CoRR
Parisa Hassanzadeh, Robert E. Tillman
2020 — conf
Generating synthetic data in finance: opportunities, challenges and pitfalls.
ICAIF
Samuel A. Assefa, Danial Dervovic, Mahmoud Mahfouz, Robert E. Tillman, Prashant Reddy, Manuela Veloso
2020 A conf
Heuristics for Link Prediction in Multiplex Networks.
ECAI
Robert E. Tillman, Vamsi K. Potluru, Jiahao Chen, Prashant P. Reddy, Manuela Veloso
2020 J jnl
Heuristics for Link Prediction in Multiplex Networks.
CoRR
Robert E. Tillman, Vamsi K. Potluru, Jiahao Chen, Prashant P. Reddy, Manuela M. Veloso
2020 J jnl
Latent Bayesian Inference for Robust Earnings Estimates.
CoRR
Chirag Nagpal, Robert E. Tillman, Prashant P. Reddy, Manuela Veloso
2020 — conf
Recommending missing and suspicious links in multiplex financial networks.
ICAIF
Robert E. Tillman, Prashant P. Reddy, Manuela Veloso
2011 A conf
Learning equivalence classes of acyclic models with latent and selection variables from multiple datasets with overlapping variables.
AISTATS
Robert E. Tillman, Peter Spirtes
2010 — conf
When causality matters for prediction.
NIPS Causality: Objectives and Assessment
Robert E. Tillman, Peter Spirtes
2009 — conf
Nonlinear directed acyclic structure learning with weakly additive noise models.
NIPS
Robert E. Tillman, Arthur Gretton, Peter Spirtes
2009 A* conf
Structure learning with independent non-identically distributed data.
ICML
Robert E. Tillman
2008 — conf
Integrating Locally Learned Causal Structures with Overlapping Variables.
NIPS
Robert E. Tillman, David Danks, Clark Glymour